How to use Group209/Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Group209/Sentiment_Analysis")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Group209/Sentiment_Analysis", device_map="auto")
https://huggingface.co/Group209/Sentiment_Analysis/resolve/a45e3d3a793deec04e1d580fa1ac8078e2b5ef61/Sentiment_analysis.ipynb
hf download hf://Group209/Sentiment_Analysis@a45e3d3a793deec04e1d580fa1ac8078e2b5ef61/Sentiment_analysis.ipynb
curl -L -o Sentiment_analysis.ipynb https://huggingface.co/Group209/Sentiment_Analysis/resolve/a45e3d3a793deec04e1d580fa1ac8078e2b5ef61/Sentiment_analysis.ipynb
